一种用于双向单相AC/DC变换器的D-Q旋转框架直流母线电压控制器

S. Kaviri, Majid Pahlevani, B. Mohammadpour, P. Jain, A. Bakhshai
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引用次数: 11

摘要

本文提出了一种双向单相交/直流变换器的D-Q旋转机架闭环控制技术。该控制系统在控制直流母线电压的同时,可以实现电网到车辆和车辆到电网两个方向的有功和无功控制。由于正交系统缺乏所需的自由度,在单相功率调节系统中使用D-Q框架是一个挑战。本文采用全通滤波器来产生闭环控制系统中的正交信号。该方法产生的正交信号不影响闭环控制系统的动力学特性,并且与其它常用方法(如微分器)相比噪声更小。本文还采用了一种基于自适应滤波的直流母线电压估计器来消除双频纹波,从而提高了控制器的可靠性和速度。提出的控制方案用于实现以电动汽车为储能系统的住宅负荷的智能充电和电源管理策略。仿真和实验结果验证了该控制器在不同工作模式下的暂态和稳态性能。仿真结果显示了所提出的直流母线电压估计器在消除双频纹波方面的性能,以及所提出的控制方案在典型家庭电源管理策略实施中的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A D-Q rotating frame DC-bus voltage controller for bi-directional single-phase AC/DC converters
This paper presents a closed-loop control technique in D-Q rotating frame for bi-directional single-phase AC/DC converters. The proposed control system allows the active and reactive power control in both directions from grid to vehicle and vehicle to grid, while controlling the DC-bus voltage. Due to the lack of freedom degrees required for orthogonal systems, using the D-Q frame is a challenge in single-phase power conditioning systems. In this paper, an all-pass filter has been used to generate the orthogonal signals in the closed-loop control system. This method generates the orthogonal signals without degrading the dynamics of the closed-loop control system and with less noise in comparison to the other common methods such as differentiators. A DC-bus voltage estimator based on adaptive filter has also been used in this paper to remove the double frequency ripple and in turn increase the reliability and speed of the proposed controller. The proposed control scheme is used to implement the smart charging and power management strategies of the residential loads using electric vehicles as a storage system. Simulation and experimental results demonstrate the transient and steady-state performance of the proposed controller in different modes of operation. Also the performance of the proposed DC-bus voltage estimator in removing the double frequency ripple as well as the application of the proposed control scheme in implementation of power management strategies in a typical household, has been shown by using simulation results.
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